22 citations · 22 across the 6 of their papers we have counts for
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stat.ME2026
Popularity Regression-Based Latent Space Model for Large-Scale Sparse Network Analysis
Zhan Gao, Danyang Huang, Rui Pan +1
Degree heterogeneity is one of the most important properties of network data. It is widely observed that degree heterogeneity is often related to the nodal features. In this study,…
stat.ME2024
A Latent Factor Model for High-Dimensional Binary Data
Jiaxin Shi, Yuan Gao, Rui Pan +1
In this study, we develop a latent factor model for analysing high-dimensional binary data. Specifically, a standard probit model is used to describe the regression relationship be…
stat.ME2024★ 22 cited
A Selective Review on Statistical Methods for Massive Data Computation: Distributed Computing, Subsampling, and Minibatch Techniques
Xuetong Li, Yuan Gao, Hong Chang +11
This paper presents a selective review of statistical computation methods for massive data analysis. A huge amount of statistical methods for massive data computation have been rap…